Ontology-Based Framework for Halalan-Thoyyiban Beef Traceability: A Methontology and Global Standards Integration Approach Farah Ramadhiani 1, Aunur Rofiq Mulyarto 2*, Sucipto 1,3
1 Departement of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya, Jl. Veteran Malang 65145, Indonesia
2 Laboratory of Computing and Agroindustrial Systems, Faculty of Agricultural Technology, Universitas Brawijaya, Jl. Veteran Malang 65145, Indonesia
3 Halal-Qualified Industry Development (Hal-Q ID), Faculty of Agricultural Technology, Universitas Brawijaya, Jl. Veteran Malang 65145, Indonesia
*Email: aunurrm[at]ub.ac.id
Abstract
Achieving quality, safety, and halalan thoyyiban compliance in beef products necessitates an integrated supply chain traceability system. Existing implementations face challenges from heterogeneous data across multiple stakeholders, including farmers, slaughterhouses, distributors, and retailers. This study develops an ontology-based traceability framework for halalan thoyyiban beef using the Methontology approach, aligned with GS1, ISO 22005, HAS 23000, and OIC/SMIIC 1:2019 standards. Data were collected from key stakeholders in Malang Raya, Indonesia. The resulting ontology, modeled in OWL with Protege, comprises 31 domain concepts and 17 object properties. Core concepts include Animal, HalalCertification, and ColdChainLogistics, while key relationships such as hasHalalSupervisor and meetsThayyibCriteria link production entities to compliance and logistics processes. Preliminary validation demonstrates over 90% mapping accuracy in dataset integration, a 40% reduction in query time, and improved traceability scores in ISO 22005 audits. These findings align with previous agri-food ontology studies, demonstrating the potential to standardize halal traceability data, strengthen compliance monitoring, and enhance the global competitiveness of the halalan thoyyiban beef industry.
Keywords: Ontology- Halal traceability- Methontology- Global Standards Integration (GSI)
Topic: Smart technology for sustainable agro-industry
